Fireside Chat: Causal Inference Tools & Applications in the Tech Industry

• Explore the contrast between academic and industry tools. Discover the practicality of unconfoundedness-based methods like matching, inverse probability weighting, and Double Machine Learning (DML) in the industry.
• Learn how unobserved confounders influence discussions and the differing popularity of tools like Difference-in-Differences (DiD) and synthetic controls (SC).
• Find out why observational methods matter, even with A/B tests available, and how they enhance decision-making.
• Explore presenting actionable causal insights and the need for sensitivity analysis in industry applications. Don’t miss this expert-led session bridging academia and industry.